ThoughtWorks Lead Consultant Samuel Chalela looks at how Cloud-Driven Innovation can support rapid prototyping and implementation in this ByThoughtWorks presentation.
Design System as a Product - Maria Elena Duenias, Esther Butcher
Design systems are a great example where web development and design meet. You can find innumerable resources on the internet, books and conferences on how to build them, and how they are exactly what your organization needs. But, building one requires a lot more than following a recipe. In this talk we are going to discuss how to build a design system as an internal product, and how it evolves to become what the users need.
Designers, Developers and Dogs: Finding the magic balance between product and tech - Charlotte Vorbeck, ShareNow and Sahil Bajaj
How can an agile delivery team become a successful product team? When does collaboration between product and tech succeed and when not? Why do people in some teams inspire each other while others in the same environment don't speak the same language? In this talk we want to share our learnings and experiences from rebuilding an internal tool for customer support at ShareNow. What could have been just another boring rewrite surprisingly became one of our best experiences in collaboration. We will look at how a joint discovery phase helped us to come up with a shared vision, how a better team setup enabled us to do the necessary work, how focusing on the customer kept us aligned during our journey, and also how we built upon existing collaborative techniques to achieve this new level of cooperation and trust.
During this presentation, Ward Coessens, ThoughtWorks' Consultant will share best practice insights from the Daimler partnership, helping the automotive group on their cloud innovation journey.
How to create more business impact with flexible teams - Jan Hegewald, Zalando & Rebekka Beels, Zalando
Usually, Software Engineering teams are organized around a fixed set of components which they develop further and maintain. Such component teams gain a high level of expert knowledge about their services. However, with agile product development, it often is difficult to implement the most important initiatives with such teams. This leads to a situation where the teams do not work on the most relevant business topics but on those for the respective team. At Zalando, we introduced a new model where we shape teams flexibly around business goals to create the highest impact. How we organize these teams and which challenges especially for the software quality need to be addressed, will be explored in this talk.
Amazon’s Culture of Innovation & The Working Backwards session
Working Backwards; leading organisations achieve growth by marrying customer-obsession with a modern technology strategy. Where do you begin? By focusing on the customer.
During this webinar, Amazon will discuss key innovation principles which have been instrumental in their continued success and their Working Backwards approach.
Dual-Track Agile for Discovery & Development - Adriana Katrandzhieva
The talk will focus on one of the ways teams can ensure continuous delivery and design in their projects. The so-called ‘Dual-track’ model shows the parallel tracks of discovery and development throughout the product design and delivery process. These continually feedback into each other informing new hypothesis that can be tested in order to be proven/disproven. This model is not always easy to implement out of the box and so I will share my own experiences in applying it in practice - what worked, what didn't and how the model can be adjusted to fit different teams and organisational environments.
Designing the Developer Experience - Tanja Bach, Jacob Bo Tiedemann
Working with software that some other people have built, is not only daily business for private and business users but also for developers. Just like any other product, a product for developers needs to solve their problems and focus on the right jobs-to-be-done in order to be successfully adopted by the developer community. In this talk, we will explain why the developer experience matters not only to developers but also to the business. We will share our learnings and real-world examples of how we created a developer experience for a cloud infrastructure product and an IoT platform that the developers love.
When we design together - Sabrina Mach, Ammara Gafoor and James Emmott
From three distinct perspectives, this talk will contend that design is an activity undertaken by everyone in a software development team. It occurs throughout the process of delivery — not only at the beginning or the end — and it is a powerful instrument for learning about and adapting to the problems our work seeks to solve, which is a shared responsibility. Making the best use of our multidisciplinary expertise in the activity of design requires forms of collaboration that are too often disrupted by the role-based silos that keep us separated and weaken the valuable contribution our diverse approaches could make to our collective efforts. If you care about accelerating time to market, improving customer experience, or building happy and productive teams, you will want to know why and how it matters that we believe ‘design is in everything that we do’.
Design System as a Product - Maria Elena Duenias, Esther Butcher
Design systems are a great example where web development and design meet. You can find innumerable resources on the internet, books and conferences on how to build them, and how they are exactly what your organization needs. But, building one requires a lot more than following a recipe. In this talk we are going to discuss how to build a design system as an internal product, and how it evolves to become what the users need.
Designers, Developers and Dogs: Finding the magic balance between product and tech - Charlotte Vorbeck, ShareNow and Sahil Bajaj
How can an agile delivery team become a successful product team? When does collaboration between product and tech succeed and when not? Why do people in some teams inspire each other while others in the same environment don't speak the same language? In this talk we want to share our learnings and experiences from rebuilding an internal tool for customer support at ShareNow. What could have been just another boring rewrite surprisingly became one of our best experiences in collaboration. We will look at how a joint discovery phase helped us to come up with a shared vision, how a better team setup enabled us to do the necessary work, how focusing on the customer kept us aligned during our journey, and also how we built upon existing collaborative techniques to achieve this new level of cooperation and trust.
During this presentation, Ward Coessens, ThoughtWorks' Consultant will share best practice insights from the Daimler partnership, helping the automotive group on their cloud innovation journey.
How to create more business impact with flexible teams - Jan Hegewald, Zalando & Rebekka Beels, Zalando
Usually, Software Engineering teams are organized around a fixed set of components which they develop further and maintain. Such component teams gain a high level of expert knowledge about their services. However, with agile product development, it often is difficult to implement the most important initiatives with such teams. This leads to a situation where the teams do not work on the most relevant business topics but on those for the respective team. At Zalando, we introduced a new model where we shape teams flexibly around business goals to create the highest impact. How we organize these teams and which challenges especially for the software quality need to be addressed, will be explored in this talk.
Amazon’s Culture of Innovation & The Working Backwards session
Working Backwards; leading organisations achieve growth by marrying customer-obsession with a modern technology strategy. Where do you begin? By focusing on the customer.
During this webinar, Amazon will discuss key innovation principles which have been instrumental in their continued success and their Working Backwards approach.
Dual-Track Agile for Discovery & Development - Adriana Katrandzhieva
The talk will focus on one of the ways teams can ensure continuous delivery and design in their projects. The so-called ‘Dual-track’ model shows the parallel tracks of discovery and development throughout the product design and delivery process. These continually feedback into each other informing new hypothesis that can be tested in order to be proven/disproven. This model is not always easy to implement out of the box and so I will share my own experiences in applying it in practice - what worked, what didn't and how the model can be adjusted to fit different teams and organisational environments.
Designing the Developer Experience - Tanja Bach, Jacob Bo Tiedemann
Working with software that some other people have built, is not only daily business for private and business users but also for developers. Just like any other product, a product for developers needs to solve their problems and focus on the right jobs-to-be-done in order to be successfully adopted by the developer community. In this talk, we will explain why the developer experience matters not only to developers but also to the business. We will share our learnings and real-world examples of how we created a developer experience for a cloud infrastructure product and an IoT platform that the developers love.
When we design together - Sabrina Mach, Ammara Gafoor and James Emmott
From three distinct perspectives, this talk will contend that design is an activity undertaken by everyone in a software development team. It occurs throughout the process of delivery — not only at the beginning or the end — and it is a powerful instrument for learning about and adapting to the problems our work seeks to solve, which is a shared responsibility. Making the best use of our multidisciplinary expertise in the activity of design requires forms of collaboration that are too often disrupted by the role-based silos that keep us separated and weaken the valuable contribution our diverse approaches could make to our collective efforts. If you care about accelerating time to market, improving customer experience, or building happy and productive teams, you will want to know why and how it matters that we believe ‘design is in everything that we do’.
Hardware is hard(er): designing for distributed user experiences in IoT - Claire Rowland, www.clairerowland.com
Designing connected devices and hardware-enabled services is significantly more complex than pure software. There are more devices on which code can run, connectivity and data sharing patterns to consider, and often multiple and varied touchpoints for users to interact with. Pulling this all together into a coherent experience involves strong collaboration between design and engineering, and a systems thinking approach to UX. In this talk, we’ll introduce what designers need to know about the tech, what engineers need to know about UX for IoT, and how to facilitate the whole-collaboration needed to create great products.
www.clairerowland.com
Customer-centric innovation enabled by cloudThoughtworks
Working Backwards - Leading organisations achieve growth by marrying customer-obsession with a modern technology strategy. In this upcoming webinar, we’ve partnered with AWS to bring you exclusive insights from one of the world’s most innovative companies, Amazon.
Working Backwards - Leading organisations achieve growth by marrying customer-obsession with a modern technology strategy. In this upcoming webinar, we’ve partnered with AWS to bring you exclusive insights from one of the world’s most innovative companies, Amazon.
Find out how to validate hypotheses quickly using feedback that comes from a (large enough) number of actual users interacting with your product. In this talk, we will show you the technical foundations, research techniques and organisational setup that we have used successfully on large-scale products. These will save you development time, enable you to go live with confidence, make decisions based on real behaviour instead of best guesses, and solve the actual problems your users are facing.
As a tech leader at ThoughtWorks, a large part of my job involves recommending practices to our clients so they can build and deliver good quality software faster. In doing so repeatedly for many clients I have created a toolkit that contains practical advice from being on the ground. This is what we do, we know it works. When Julius Caesar entered Rome with his army by crossing the river Rubicon, he did something that couldn’t be undone ever again. In your journey as a leader, avoid mistakes that are difficult to correct later. Here are a set of practices that you want to adopt as soon as possible.
Handling error conditions is a core part of the software we write. However, we often treat it as a second class citizen, obscuring our intent through abuse of null values and exceptions that make our code hard to understand and maintain. In the functional programming community, it is common to use datatypes such as Option, Either or Validated to make our intentions explicit when dealing with errors. We can leverage the compiler to verify that we are handling them instead of hoping for the best at runtime. This results in code that is clearer, without hidden path flows. We’ll show how we have been doing this in Kotlin, with the help of the Arrow library.
Mutation testing in software development surfaced in academia during the 70's and has recently seen a resurgence in popularity as a legitimate tool in your testing arsenal. In this session we review the conventional testing pyramid, modern approaches to testing software and look at how mutation testing can help fill in those blind spots.
The continued adoption of containers for deployments has introduced a new path for security issues. In this talk, we will cover the most common areas of vulnerabilities, the challenges in securing your containers, some good practices to help overcome these issues and how to run container security scanning as part of your deployment pipeline.
Mainframes handle 30 billion business transactions each day and 87% of all credit card transactions*, they are not traditionally associated with flexible, fail-fast development approaches. Can we bring the practices of agile, CI/CD and fully automated deployments to applications running on a mainframe? During our talk, we'll tell you a story about test automation; redefining the smallest testable unit of a program. And we'll discuss our learnings from introducing continuous integration and agile practices to the world of insurance and mainframes.
*9 Mainframe statistics that may surprise you
ThoughtWorks' Lucy Kurian, James Lewis & Kief Morris discuss tech trends in our latest Technology Radar, covering techniques, platforms, tools, languages and frameworks.
Do No Harm: Do Technologists Need a Code of Ethics?Thoughtworks
Nothing is neutral, and the technology we design and build, isn’t objective. How do we ensure that what starts out as a great idea, doesn’t unintentionally (or intentionally) harm? Trolling, racially biased algorithms, surveillance capitalism, how do we assess our creations through an ethical lens so our products don’t amplify social biases? Do we need a code of ethics? How do we build ethics in our practice?
In this talk Sofia explores these questions and builds on the conversations that are happening globally within the technology community. She also talks about the Responsible Tech Playbook that ThoughtWorks is building which collate ethical frameworks and explore how to use them in design and delivery of software.
SPEAKER:
Sofia Woods, Senior Experience Designer, ThoughtWorks
Sofia has over 10 years experience solving complex problems and designing digital products, experiences and services across government, financial services, transport and the private sectors. She’s a multi-disciplined designer, experienced with the whole gamut of Human Centred Design approaches including UX research, user interface design, prototyping/ testing and can apply this approach in large scale software delivery environments. Blending human centred design with strategy and technology, she creates meaningful experiences that transform.
Machine learning offers huge potential across digital products but it continues to come with so much hype that it leaves us with more questions than answers. What new thing can we build we couldn't before? How do we introduce intelligence into existing products? How much data do we really need? In this talk we've given an overview of practical concerns regarding building machine learning powered products through a set of standard product management lenses including customer value, commercial viability, technical feasibility and end usability. We step back and consider the strategic implications of Machine Learning and the potential to build sustainable competitive advantage, before diving into the practicalities of establishing ML product teams.
Making best-in-class security ubiquitous - Why security is no longer just an ...Thoughtworks
The evolving nature of cyber threats makes security a strategic imperative, and a collective responsibility. Today’s business leaders have a duty to set the tone from the top, taking steps to ensure security extends beyond technology to become part of organisational culture. This talk explores why security is no longer a technology issue with technical solutions, but a board-level priority that needs to be factored into the highest levels of corporate strategy.
Security by default - Building continuous cyber-resilience.Thoughtworks
Single-line of defence security is no longer enough. Organisations need to build security across everything they do - business processes, data handling, platforms, products and services, and understand security as an evolving, responsive, agile setup. In this talk, Dave explains how technology foundations for secure product development and an agile security setup across the board can promote sustainable innovation and enhance cyber-resilience overall.
Continuous Delivery for Machine LearningThoughtworks
Your Data Scientists or Machine Learning experts have developed a machine learning model which runs perfectly in your notebook? Now you want to deploy it into corporate IT to let it run “in the wild”. And a bunch of new problems comes up: How to integrate the work of your data scientists and machine learning experts into the development processes like CI/CD of your corporate IT? How to prevent a “throw-it-over-the-fence” mentality? How to test, monitor and continuously improve your machine learning application “in the wild”?
In a compact workshop, we will discuss the new challenges of integrating machine learning approaches in modern IT development processes and demonstrate our “Continuous Delivery for Machine Learning” (CD4ML) methodology with some live coding examples.
Alice has a Blue Car: Beginning the Conversation Around Ethically Aware Decis...Thoughtworks
Who we meet, what we choose to do, and the costs of our choices, are increasingly influenced and even driven by software systems, algorithms and infrastructure. The decisions underlying how those work are made by people just like you.
This talk challenges the audience to consider the ongoing implications of decisions made early in the design process, and provides practical examples of translating moral standpoints into real-world implementations. Presented by ThoughtWorks Principle Data Engineer Simon Aubury and Project Manager Dr. Maia Sauren.
Hardware is hard(er): designing for distributed user experiences in IoT - Claire Rowland, www.clairerowland.com
Designing connected devices and hardware-enabled services is significantly more complex than pure software. There are more devices on which code can run, connectivity and data sharing patterns to consider, and often multiple and varied touchpoints for users to interact with. Pulling this all together into a coherent experience involves strong collaboration between design and engineering, and a systems thinking approach to UX. In this talk, we’ll introduce what designers need to know about the tech, what engineers need to know about UX for IoT, and how to facilitate the whole-collaboration needed to create great products.
www.clairerowland.com
Customer-centric innovation enabled by cloudThoughtworks
Working Backwards - Leading organisations achieve growth by marrying customer-obsession with a modern technology strategy. In this upcoming webinar, we’ve partnered with AWS to bring you exclusive insights from one of the world’s most innovative companies, Amazon.
Working Backwards - Leading organisations achieve growth by marrying customer-obsession with a modern technology strategy. In this upcoming webinar, we’ve partnered with AWS to bring you exclusive insights from one of the world’s most innovative companies, Amazon.
Find out how to validate hypotheses quickly using feedback that comes from a (large enough) number of actual users interacting with your product. In this talk, we will show you the technical foundations, research techniques and organisational setup that we have used successfully on large-scale products. These will save you development time, enable you to go live with confidence, make decisions based on real behaviour instead of best guesses, and solve the actual problems your users are facing.
As a tech leader at ThoughtWorks, a large part of my job involves recommending practices to our clients so they can build and deliver good quality software faster. In doing so repeatedly for many clients I have created a toolkit that contains practical advice from being on the ground. This is what we do, we know it works. When Julius Caesar entered Rome with his army by crossing the river Rubicon, he did something that couldn’t be undone ever again. In your journey as a leader, avoid mistakes that are difficult to correct later. Here are a set of practices that you want to adopt as soon as possible.
Handling error conditions is a core part of the software we write. However, we often treat it as a second class citizen, obscuring our intent through abuse of null values and exceptions that make our code hard to understand and maintain. In the functional programming community, it is common to use datatypes such as Option, Either or Validated to make our intentions explicit when dealing with errors. We can leverage the compiler to verify that we are handling them instead of hoping for the best at runtime. This results in code that is clearer, without hidden path flows. We’ll show how we have been doing this in Kotlin, with the help of the Arrow library.
Mutation testing in software development surfaced in academia during the 70's and has recently seen a resurgence in popularity as a legitimate tool in your testing arsenal. In this session we review the conventional testing pyramid, modern approaches to testing software and look at how mutation testing can help fill in those blind spots.
The continued adoption of containers for deployments has introduced a new path for security issues. In this talk, we will cover the most common areas of vulnerabilities, the challenges in securing your containers, some good practices to help overcome these issues and how to run container security scanning as part of your deployment pipeline.
Mainframes handle 30 billion business transactions each day and 87% of all credit card transactions*, they are not traditionally associated with flexible, fail-fast development approaches. Can we bring the practices of agile, CI/CD and fully automated deployments to applications running on a mainframe? During our talk, we'll tell you a story about test automation; redefining the smallest testable unit of a program. And we'll discuss our learnings from introducing continuous integration and agile practices to the world of insurance and mainframes.
*9 Mainframe statistics that may surprise you
ThoughtWorks' Lucy Kurian, James Lewis & Kief Morris discuss tech trends in our latest Technology Radar, covering techniques, platforms, tools, languages and frameworks.
Do No Harm: Do Technologists Need a Code of Ethics?Thoughtworks
Nothing is neutral, and the technology we design and build, isn’t objective. How do we ensure that what starts out as a great idea, doesn’t unintentionally (or intentionally) harm? Trolling, racially biased algorithms, surveillance capitalism, how do we assess our creations through an ethical lens so our products don’t amplify social biases? Do we need a code of ethics? How do we build ethics in our practice?
In this talk Sofia explores these questions and builds on the conversations that are happening globally within the technology community. She also talks about the Responsible Tech Playbook that ThoughtWorks is building which collate ethical frameworks and explore how to use them in design and delivery of software.
SPEAKER:
Sofia Woods, Senior Experience Designer, ThoughtWorks
Sofia has over 10 years experience solving complex problems and designing digital products, experiences and services across government, financial services, transport and the private sectors. She’s a multi-disciplined designer, experienced with the whole gamut of Human Centred Design approaches including UX research, user interface design, prototyping/ testing and can apply this approach in large scale software delivery environments. Blending human centred design with strategy and technology, she creates meaningful experiences that transform.
Machine learning offers huge potential across digital products but it continues to come with so much hype that it leaves us with more questions than answers. What new thing can we build we couldn't before? How do we introduce intelligence into existing products? How much data do we really need? In this talk we've given an overview of practical concerns regarding building machine learning powered products through a set of standard product management lenses including customer value, commercial viability, technical feasibility and end usability. We step back and consider the strategic implications of Machine Learning and the potential to build sustainable competitive advantage, before diving into the practicalities of establishing ML product teams.
Making best-in-class security ubiquitous - Why security is no longer just an ...Thoughtworks
The evolving nature of cyber threats makes security a strategic imperative, and a collective responsibility. Today’s business leaders have a duty to set the tone from the top, taking steps to ensure security extends beyond technology to become part of organisational culture. This talk explores why security is no longer a technology issue with technical solutions, but a board-level priority that needs to be factored into the highest levels of corporate strategy.
Security by default - Building continuous cyber-resilience.Thoughtworks
Single-line of defence security is no longer enough. Organisations need to build security across everything they do - business processes, data handling, platforms, products and services, and understand security as an evolving, responsive, agile setup. In this talk, Dave explains how technology foundations for secure product development and an agile security setup across the board can promote sustainable innovation and enhance cyber-resilience overall.
Continuous Delivery for Machine LearningThoughtworks
Your Data Scientists or Machine Learning experts have developed a machine learning model which runs perfectly in your notebook? Now you want to deploy it into corporate IT to let it run “in the wild”. And a bunch of new problems comes up: How to integrate the work of your data scientists and machine learning experts into the development processes like CI/CD of your corporate IT? How to prevent a “throw-it-over-the-fence” mentality? How to test, monitor and continuously improve your machine learning application “in the wild”?
In a compact workshop, we will discuss the new challenges of integrating machine learning approaches in modern IT development processes and demonstrate our “Continuous Delivery for Machine Learning” (CD4ML) methodology with some live coding examples.
Alice has a Blue Car: Beginning the Conversation Around Ethically Aware Decis...Thoughtworks
Who we meet, what we choose to do, and the costs of our choices, are increasingly influenced and even driven by software systems, algorithms and infrastructure. The decisions underlying how those work are made by people just like you.
This talk challenges the audience to consider the ongoing implications of decisions made early in the design process, and provides practical examples of translating moral standpoints into real-world implementations. Presented by ThoughtWorks Principle Data Engineer Simon Aubury and Project Manager Dr. Maia Sauren.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...2023240532
Quantitative data Analysis
Overview
Reliability Analysis (Cronbach Alpha)
Common Method Bias (Harman Single Factor Test)
Frequency Analysis (Demographic)
Descriptive Analysis
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).